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Found 3 papers, 1 papers with code
Disentangled Action Recognition with Knowledge Bases
In this paper, we aim to improve the generalization ability of the compositional action recognition model to novel verbs or novel nouns that are unseen during training time, by leveraging the power of knowledge graphs.
Improving RNA Secondary Structure Design using Deep Reinforcement Learning
Rising costs in recent years of developing new drugs and treatments have led to extensive research in optimization techniques in biomolecular design.
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
Weakly-supervised action localization requires training a model to localize the action segments in the video given only video level action label.
Ranked #9 on
Weakly Supervised Action Localization
on THUMOS’14
